Induction machine DTC optimization using artificial intelligence for EV's applications

A three-phase squirrel-cage induction motor is used as a propulsion system of an electric vehicle (EV). The motor is controlled at different operating conditions using a direct torque control (DTC) technique known to have simple control structure with comparable performance. Whereas in a conventiona...

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Bibliographic Details
Published inEighth International Multi-Conference on Systems, Signals & Devices pp. 1 - 5
Main Authors Hachicha, M R, Ghariani, M, Neji, R
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2011
Subjects
Artificial Intelligence
direct torque control (DTC)
Electric vehicle
EVs propulsion
Induction motor
Induction motors
Propulsion
Road vehicle electric propulsion
Stators
Torque
Torque control
Vehicles
voltage space vectors
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Summary:A three-phase squirrel-cage induction motor is used as a propulsion system of an electric vehicle (EV). The motor is controlled at different operating conditions using a direct torque control (DTC) technique known to have simple control structure with comparable performance. Whereas in a conventional DTC drive, the weakest points is the optimal voltage space vector choice. In this paper Artificial Intelligence is used to achieve an optimal selection of voltage space vectors. The European drive cycle ECE-15 is used for validation. The simulation results show that the proposed DTC optimization using artificial intelligence scheme for induction motors is a good candidate for EVs propulsion.
ISBN:9781457704130
1457704137
DOI:10.1109/SSD.2011.5767397